Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South Sulawesi
This research presents the results of a landslide susceptibility mapping using Geographic Information Systems (GIS) based statistical namely Spatial Multi-Criteria Evaluation (SMCE) in Camba Sub-district, Maros Regency, South Sulawesi. Ten physical factors encompassed soil type, slope, slope aspect,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/13/e3sconf_corectijjss2020_02007.pdf |
| _version_ | 1818594992019472384 |
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| author | Oktaviani Nahra Ristya Yoanna Fadhil Muhammad Kusratmoko Eko |
| author_facet | Oktaviani Nahra Ristya Yoanna Fadhil Muhammad Kusratmoko Eko |
| author_sort | Oktaviani Nahra |
| collection | DOAJ |
| description | This research presents the results of a landslide susceptibility mapping using Geographic Information Systems (GIS) based statistical namely Spatial Multi-Criteria Evaluation (SMCE) in Camba Sub-district, Maros Regency, South Sulawesi. Ten physical factors encompassed soil type, slope, slope aspect, rock type, altitude, land cover, distance from the river, rainfall, distance from faults, and distance from the road that collected from several sources and used to determined landslide susceptible areas. SMCE was applied to classify the degree of landslide susceptibility from low to very high classes. Validation using 30 points of landslide events obtained from field survey. The result showed an area with high and very high classes has an area 2079 ha (18,3 %) and 52,5 ha (0,46 %) distributed in the southern region. The results of validation using the R-index for very high and high classes is 55% and ROC shows that of 96.4%, for the P show method of 98%. This landslide mapping can be used for disaster mitigation and disaster preparedness planning purposes. |
| first_indexed | 2024-12-16T11:08:55Z |
| format | Article |
| id | doaj.art-b1df11ef54814bb88ceec8658e5730e3 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-16T11:08:55Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-b1df11ef54814bb88ceec8658e5730e32022-12-21T22:33:47ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011530200710.1051/e3sconf/202015302007e3sconf_corectijjss2020_02007Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South SulawesiOktaviani Nahra0Ristya Yoanna1Fadhil Muhammad2Kusratmoko Eko3Department of Geography, Faculty of Mathematics and Natural Science, UniversitasDepartment of Geography, Faculty of Mathematics and Natural Science, UniversitasDepartment of Geography, Faculty of Mathematics and Natural Science, UniversitasDepartment of Geography, Faculty of Mathematics and Natural Science, UniversitasThis research presents the results of a landslide susceptibility mapping using Geographic Information Systems (GIS) based statistical namely Spatial Multi-Criteria Evaluation (SMCE) in Camba Sub-district, Maros Regency, South Sulawesi. Ten physical factors encompassed soil type, slope, slope aspect, rock type, altitude, land cover, distance from the river, rainfall, distance from faults, and distance from the road that collected from several sources and used to determined landslide susceptible areas. SMCE was applied to classify the degree of landslide susceptibility from low to very high classes. Validation using 30 points of landslide events obtained from field survey. The result showed an area with high and very high classes has an area 2079 ha (18,3 %) and 52,5 ha (0,46 %) distributed in the southern region. The results of validation using the R-index for very high and high classes is 55% and ROC shows that of 96.4%, for the P show method of 98%. This landslide mapping can be used for disaster mitigation and disaster preparedness planning purposes.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/13/e3sconf_corectijjss2020_02007.pdf |
| spellingShingle | Oktaviani Nahra Ristya Yoanna Fadhil Muhammad Kusratmoko Eko Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South Sulawesi E3S Web of Conferences |
| title | Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South Sulawesi |
| title_full | Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South Sulawesi |
| title_fullStr | Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South Sulawesi |
| title_full_unstemmed | Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South Sulawesi |
| title_short | Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South Sulawesi |
| title_sort | landslide susceptibility mapping using spatial multi criteria evaluation smce method in camba sub district maros regency south sulawesi |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/13/e3sconf_corectijjss2020_02007.pdf |
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